code: def init():
      global original_model
      global scoring_explainer
  
      # Retrieve the path to the model file using the model name
      # Assume original model is named original_prediction_model
      original_model_path = Model.get_model_path(
          "amlcompute_deploy_model"
      )
      scoring_explainer_path = Model.get_model_path(
          "IBM_attrition_explainer"
      )
  
      original_model = joblib.load(original_model_path)
      scoring_explainer = joblib.load(scoring_explainer_path)
  
file_path: MachineLearningNotebooks/how-to-use-azureml/explain-model/azure-integration/scoring-time/score_remote_explain.py
imports: import json
  import numpy
  import pandas
  import os
  import pickle
  import joblib
  from sklearn.linear_model import LogisticRegression
  from azureml.core.model import Model
label_desc: Use image node_id 1 for calling a global function with example usage: init() without return types